Welcome!

The Artificial Intelligence and Machine Learning (AIML) group, lead by Prof. Dr. Eirini Ntoutsi, focuses on researching and developing intelligent algorithms that address real-world data challenges and contribute to social good. Three fundamental questions drive our work: How can we build intelligent machines for the real world? Equally important, what kind of intelligence do we aspire to build? And, can AI exhibit creativity?

Our ongoing research includes:

  • Continuous learning over evolving data and data streams.
  • Responsible AI with a focus on fairness-aware machine learning and explainable AI.
  • Generative AI for improving data quality for AI and generating new data and solutions.

Our methods cover a diverse array of application fields, including education, social networks, banks, agriculture, manufacturing, and engineering.

We are part of Research Institute CODE for cybersecurity and smart data and the Department of Computer Science at the Bundeswehr University Munich (UniBwM). Previously, we have been working at the Freie Universität Berlin and Leibniz Universität Hannover/L3S Research Center.

News

20.01.2025

Our paper “Fairness Evaluation with Item Response Theory” was accepted at WWW 2025. Congrats Ziqi!

16-18.01.2025

Eirini attended the DLD conference in Munich, Europe’s leading innovation conference, with this year’s moto “Future Positive”.

07.01.2025

Kicking-off WT25 with the AI module AI module.

14-17.11.2024

Manolis attended ICAIF 2024 in New York, USA presenting his recent work on counterfactual explanations for mixed tabular data.

04-05.11.2024

Eirini, Arjun and Swati participated in the MAMMoth plenary meeting in Vienna, Austria and the workshop on “Fostering a fair algorithmic environment - Presenting the MAMMOth AI bias solutions”.

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